Predicting Simultaneous Heart Kidney Allocation and Posttransplant Adverse Kidney Outcomes.

ABSTRACT:

Introduction

For individuals with both end-stage heart failure and end-stage kidney disease or persistent acute kidney injury (AKI), simultaneous heart-kidney transplantation (SHKT) emerges as a viable treatment option, potentially yielding superior survival rates compared with heart transplantation (HT) alone. Nevertheless, accurately forecasting kidney recovery following HT in patients with moderate kidney failure poses challenges, thereby complicating the decision-making process for SHKT.

Methods

This study employed a random forest (RF) machine learning algorithm, using 15 variables with the highest feature importance scores in the Organ Procurement and Transplantation Network (OPTN) data in which we analyzed a retrospective cohort of adult HT recipients from October 18,

SUBMITTER: Mete M 

PROVIDER: S-EPMC12799570 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature